Busecke Julius J M, Abernathey Ryan P
Princeton University, Princeton, NJ, USA.
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
Sci Adv. 2019 Jan 23;5(1):eaav5014. doi: 10.1126/sciadv.aav5014. eCollection 2019 Jan.
Mesoscale turbulence in the ocean strongly affects the circulation, water mass formation, and transport of tracers. Little is known, however, about how mixing varies on climate timescales. We present the first time-resolved global dataset of lateral mesoscale eddy diffusivities at the ocean surface, obtained by applying the suppressed mixing length theory to satellite-observed velocities. We find interannual variability throughout the global ocean, regionally correlated with climate indices such as ENSO, NAO, DMI, and PDO. Changes in mixing length, driven by variations in the large-scale flow, often exceed the effect of variations in local eddy kinetic energy, previously thought of as the primary driver of variability in eddy mixing. This mechanism, not currently represented in global climate models, could have far-reaching consequences for the distribution of heat, salt, and carbon in the global ocean, as well as ecosystem dynamics and regional dynamics such as ENSO variance.
海洋中的中尺度湍流对环流、水体形成和示踪剂的输运有着强烈影响。然而,关于混合作用在气候时间尺度上如何变化,人们所知甚少。我们展示了首个通过将抑制混合长度理论应用于卫星观测速度而获得的海洋表面横向中尺度涡动扩散率的时间分辨全球数据集。我们发现全球海洋存在年际变化,且在区域上与诸如厄尔尼诺-南方涛动(ENSO)、北大西洋涛动(NAO)、德雷克海峡海冰密集度(DMI)和太平洋年代际振荡(PDO)等气候指数相关。由大尺度流变化驱动的混合长度变化,常常超过局部涡动动能变化的影响,而局部涡动动能变化此前被认为是涡动混合变率的主要驱动因素。这种目前全球气候模型中未体现的机制,可能对全球海洋中热量、盐分和碳的分布,以及生态系统动力学和诸如ENSO变率等区域动力学产生深远影响。